Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/dsfaccini/siigo-mcp/dev-workflownpx skills add dsfaccini/siigo-mcp --skill dev-workflowgit clone --depth 1 https://github.com/dsfaccini/siigo-mcpWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00034 | $0.00381 |
| Opus 5 | $0.00017 | $0.00191 |
| Sonnet 5 | $0.00007 | $0.00076 |
| Haiku 4.5 | $0.00003 | $0.00038 |
Grade A, and why
dev-workflow scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Development Workflow
Iterative coding agent that tracks progress and can resume where it left off.
Before Starting
- Read PROGRESS.md to check current state
- If resuming: pick up from "In Progress" or "Next Steps"
- If starting fresh: understand the task and update PROGRESS.md
During Work
- Work on one task at a time
- For API questions: read
.claude/skills/siigo-expert/SKILL.mdfor Siigo API details - For MCP/FastMCP questions: read
.claude/skills/technical/SKILL.md - For deployment questions: read
.claude/skills/infrastructure/SKILL.md - Test changes when possible (run server, check imports, etc.)
Before Stopping
ALWAYS update PROGRESS.md with:
- What you completed (move to Completed section)
- What's currently in progress
- Any blockers or questions for the user
- Clear next steps for whoever continues
When Blocked
If you hit a blocker:
- Document it clearly in PROGRESS.md under Blockers
- Set status to
blocked - Describe what information or decision is needed
- Stop and let the user know
Task Reference
Current project tasks (from plan):
- Test server with MCP inspector
- Add .gitignore
- Verify tool implementations match Siigo API exactly
- Add error handling for API failures
- Deploy to Railway
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 48 lines · 34 tokens per session scan A 26513a919637
dev-workflow is a skill published in the GitHub repository dsfaccini/siigo-mcp (1 stars, last pushed 8mo ago), licensed MIT. It adds 34 tokens to every session and 381 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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lark-im
飞书即时通讯：收发消息和管理群聊。发送和回复消息、搜索聊天记录、管理群聊成员、上传下载图片和文件、管理表情回复、发送应用内/短信/电话加急、发送和处理交互卡片（Interactive Card）、监听卡片按钮回调（card.action.trigger）。当用户需要发消息、查看或搜索聊天记录、下载聊天中的文件、查看群成员、搜索群、创建群聊或话题群、管理标记数据、管理 Feed 置顶（添加/移除/查询置顶会话）、管理标签数据、处理卡片回调时使用。.
feishu
Work with Feishu or Lark bots, docs, sheets, bitables, approval flows, and OpenAPI/MCP setup without hardcoding credentials.
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Review recent work, find repeated workflow patterns, and suggest reusable skills, agents, commands, config changes, or playbooks. Use when the user asks to learn from past sessions, improve recurring workflows, or identify what should be turned into reusable agent instructions.
mochi-remind
Handle due reminders — notify the user with natural language and mark them done.
organize-threads
猫猫辅助整理未分类 thread，分析标题和元数据，建议合适的标签。 Use when: 用户说"帮我整理"、"分类 thread"、点击整理按钮。 Not for: 删除/编辑标签本身。 Output: 按 thread 的标签建议列表。.